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Profiles of tumor-infiltrating immune cells in renal cell carcinoma and their clinical implications

Tumor-infiltrating immune cells (TIICs) are crucial for the clinical outcome of renal cell carcinoma (RCC), as they regulate cancer progression. TIICs have therefore the potential to become novel targets of immunotherapies. The present study used CIBERSORT analytical tool, which is a deconvolution a...

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Autores principales: Zhu, Gongmin, Pei, Lijiao, Yin, Hubin, Lin, Fan, Li, Xinyuan, Zhu, Xin, He, Weiyang, Gou, Xin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: D.A. Spandidos 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6781756/
https://www.ncbi.nlm.nih.gov/pubmed/31612034
http://dx.doi.org/10.3892/ol.2019.10896
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author Zhu, Gongmin
Pei, Lijiao
Yin, Hubin
Lin, Fan
Li, Xinyuan
Zhu, Xin
He, Weiyang
Gou, Xin
author_facet Zhu, Gongmin
Pei, Lijiao
Yin, Hubin
Lin, Fan
Li, Xinyuan
Zhu, Xin
He, Weiyang
Gou, Xin
author_sort Zhu, Gongmin
collection PubMed
description Tumor-infiltrating immune cells (TIICs) are crucial for the clinical outcome of renal cell carcinoma (RCC), as they regulate cancer progression. TIICs have therefore the potential to become novel targets of immunotherapies. The present study used CIBERSORT analytical tool, which is a deconvolution algorithm, to comprehensively analyze the composition of immune cells in RCC and normal tissues from The Cancer Genome Atlas (TCGA) cohort, and to determine the prognostic value of TIICs in RCC. A landscape of infiltrating immune cells was determined as containing 13 subpopulations of immune cells, with significant differences between normal and tumor tissues. Subsequently, Kaplan-Meier analysis and log-rank test were used to estimate the prognostic value of TIICs in RCC. The results demonstrated that a higher proportion of regulatory T cells (Tregs) [hazard ratio (HR)=1.596; 95% confidence interval (CI), 1.147–2.222; P=0.006] and follicular helper T cells (HR=1.516; 95% CI, 1.089–2.111; P=0.014) were associated with poor outcome in patients with RCC. Conversely, resting mast cells (HR=0.678; 95% CI, 0.487–0.943; P=0.021) and monocytes (HR=0.701; 95% CI, 0.503–0.977; P=0.036) were associated with a favorable prognosis in patients with RCC. Furthermore, the results from multivariate Cox regression analysis indicated that Tregs and monocytes represented independent risk factors for prognosis in patients with RCC. These findings demonstrated that gene profiling deconvolution by CIBERSORT served to determine the composition of immune cells infiltrated in RCC and may provide some crucial information for the development of immunotherapies.
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spelling pubmed-67817562019-10-14 Profiles of tumor-infiltrating immune cells in renal cell carcinoma and their clinical implications Zhu, Gongmin Pei, Lijiao Yin, Hubin Lin, Fan Li, Xinyuan Zhu, Xin He, Weiyang Gou, Xin Oncol Lett Articles Tumor-infiltrating immune cells (TIICs) are crucial for the clinical outcome of renal cell carcinoma (RCC), as they regulate cancer progression. TIICs have therefore the potential to become novel targets of immunotherapies. The present study used CIBERSORT analytical tool, which is a deconvolution algorithm, to comprehensively analyze the composition of immune cells in RCC and normal tissues from The Cancer Genome Atlas (TCGA) cohort, and to determine the prognostic value of TIICs in RCC. A landscape of infiltrating immune cells was determined as containing 13 subpopulations of immune cells, with significant differences between normal and tumor tissues. Subsequently, Kaplan-Meier analysis and log-rank test were used to estimate the prognostic value of TIICs in RCC. The results demonstrated that a higher proportion of regulatory T cells (Tregs) [hazard ratio (HR)=1.596; 95% confidence interval (CI), 1.147–2.222; P=0.006] and follicular helper T cells (HR=1.516; 95% CI, 1.089–2.111; P=0.014) were associated with poor outcome in patients with RCC. Conversely, resting mast cells (HR=0.678; 95% CI, 0.487–0.943; P=0.021) and monocytes (HR=0.701; 95% CI, 0.503–0.977; P=0.036) were associated with a favorable prognosis in patients with RCC. Furthermore, the results from multivariate Cox regression analysis indicated that Tregs and monocytes represented independent risk factors for prognosis in patients with RCC. These findings demonstrated that gene profiling deconvolution by CIBERSORT served to determine the composition of immune cells infiltrated in RCC and may provide some crucial information for the development of immunotherapies. D.A. Spandidos 2019-11 2019-09-20 /pmc/articles/PMC6781756/ /pubmed/31612034 http://dx.doi.org/10.3892/ol.2019.10896 Text en Copyright: © Zhu et al. This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.
spellingShingle Articles
Zhu, Gongmin
Pei, Lijiao
Yin, Hubin
Lin, Fan
Li, Xinyuan
Zhu, Xin
He, Weiyang
Gou, Xin
Profiles of tumor-infiltrating immune cells in renal cell carcinoma and their clinical implications
title Profiles of tumor-infiltrating immune cells in renal cell carcinoma and their clinical implications
title_full Profiles of tumor-infiltrating immune cells in renal cell carcinoma and their clinical implications
title_fullStr Profiles of tumor-infiltrating immune cells in renal cell carcinoma and their clinical implications
title_full_unstemmed Profiles of tumor-infiltrating immune cells in renal cell carcinoma and their clinical implications
title_short Profiles of tumor-infiltrating immune cells in renal cell carcinoma and their clinical implications
title_sort profiles of tumor-infiltrating immune cells in renal cell carcinoma and their clinical implications
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6781756/
https://www.ncbi.nlm.nih.gov/pubmed/31612034
http://dx.doi.org/10.3892/ol.2019.10896
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